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CSTools  

Assessing Skill of Climate Forecasts on Seasonal-to-Decadal Timescales
View on CRAN: Click here


Download and install CSTools package within the R console
Install from CRAN:
install.packages("CSTools")

Install from Github:
library("remotes")
install_github("cran/CSTools")

Install by package version:
library("remotes")
install_version("CSTools", "5.2.0")



Attach the package and use:
library("CSTools")
Maintained by
Victoria Agudetse
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-24
Latest Update: 2023-06-06
Description:
Exploits dynamical seasonal forecasts in order to provide information relevant to stakeholders at the seasonal timescale. The package contains process-based methods for forecast calibration, bias correction, statistical and stochastic downscaling, optimal forecast combination and multivariate verification, as well as basic and advanced tools to obtain tailored products. This package was developed in the context of the 'ERA4CS' project 'MEDSCOPE' and the 'H2020 S2S4E' project and includes contributions from 'ArticXchange' project founded by 'EU-PolarNet 2'. 'P
How to cite:
Victoria Agudetse (2019). CSTools: Assessing Skill of Climate Forecasts on Seasonal-to-Decadal Timescales. R package version 5.2.0, https://cran.r-project.org/web/packages/CSTools. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.0 (2019-04-24 16:20), 1.0.1 (2019-06-19 15:40), 2.0.0 (2019-11-28 00:10), 3.0.0 (2020-02-11 13:50), 3.1.0 (2020-07-02 11:30), 4.0.0 (2021-02-24 00:00), 4.0.1 (2021-10-05 09:20), 4.1.0 (2022-10-26 12:58), 4.1.1 (2022-11-10 19:00), 5.0.0 (2023-04-06 11:03), 5.0.1 (2023-06-06 16:10), 5.1.0 (2023-10-18 12:40), 5.1.1 (2023-10-20 11:10)
Other packages that cited CSTools R package
View CSTools citation profile
Other R packages that CSTools depends, imports, suggests or enhances
Complete documentation for CSTools
Functions, R codes and Examples using the CSTools R package
Some associated functions: AdamontQQCorr . Analogs . BEI_PDFBest . BEI_Weights . BiasCorrection . CST_AdamontAnalog . CST_AdamontQQCorr . CST_Analogs . CST_AnalogsPredictors . CST_Anomaly . CST_BEI_Weighting . CST_BiasCorrection . CST_Calibration . CST_CategoricalEnsCombination . CST_DynBiasCorrection . CST_EnsClustering . CST_Load . CST_MergeDims . CST_MultiEOF . CST_MultiMetric . CST_MultivarRMSE . CST_ProxiesAttractor . CST_QuantileMapping . CST_RFSlope . CST_RFTemp . CST_RFWeights . CST_RainFARM . CST_RegimesAssign . CST_SaveExp . CST_SplitDim . CST_WeatherRegimes . Calibration . CategoricalEnsCombination . DynBiasCorrection . EnsClustering . MergeDims . MultiEOF . MultiMetric . PlotCombinedMap . PlotForecastPDF . PlotMostLikelyQuantileMap . PlotPDFsOLE . PlotTriangles4Categories . Predictability . ProxiesAttractor . QuantileMapping . RFSlope . RFTemp . RF_Weights . RainFARM . RegimesAssign . SaveExp . SplitDim . WeatherRegimes . as.s2dv_cube . lonlat_prec . lonlat_temp . s2dv_cube . training_analogs . 
Some associated R codes: AnalogsPred_train.R . BEI_PDFBest.R . BEI_Weights.R . CST_AdamontAnalog.R . CST_AdamontQQCorr.R . CST_Analogs.R . CST_AnalogsPredictors.R . CST_Anomaly.R . CST_BEI_Weighting.R . CST_BiasCorrection.R . CST_Calibration.R . CST_CategoricalEnsCombination.R . CST_DynBiasCorrection.R . CST_EnsClustering.R . CST_Load.R . CST_MergeDims.R . CST_MultiEOF.R . CST_MultiMetric.R . CST_MultivarRMSE.R . CST_ProxiesAttractor.R . CST_QuantileMapping.R . CST_RFSlope.R . CST_RFTemp.R . CST_RFWeights.R . CST_RainFARM.R . CST_RegimesAssign.R . CST_SaveExp.R . CST_SplitDim.R . CST_WeatherRegimes.R . PlotCombinedMap.R . PlotForecastPDF.R . PlotMostLikelyQuantileMap.R . PlotPDFsOLE.R . PlotTriangles4Categories.R . Predictability.R . as.s2dv_cube.R . s2dv_cube.R . sample_data.R . zzz.R .  Full CSTools package functions and examples
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